{"created":"2025-01-19T01:38:09.228642+00:00","updated":"2025-01-19T09:20:44.473287+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236221","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236221","title":["汎用前向き推論エンジンFreeEnCalの簡潔データ構造SuRFを用いた省メモリ化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"2139324c-2cb8-47cb-a3e2-6469380e9a0e"},"_deposit":{"id":"236221","pid":{"type":"depid","value":"236221","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"汎用前向き推論エンジンFreeEnCalの簡潔データ構造SuRFを用いた省メモリ化","author_link":["645663","645662"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"汎用前向き推論エンジンFreeEnCalの簡潔データ構造SuRFを用いた省メモリ化"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"埼玉大"},{"subitem_text_value":"埼玉大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/236221/files/IPSJ-Z86-2V-02.pdf","label":"IPSJ-Z86-2V-02.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-2V-02.pdf","filesize":[{"value":"423.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"d0da51cb-d70b-4b96-90fe-dc10541c15a8","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"辻, 陽成"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"後藤, 祐一"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"前向き推論エンジンは，既知の知識から新しい知識を発見する，あるいは予測する情報システムの実現に必要不可欠なものである．前向き推論エンジンの一つとして汎用前向き推論エンジンFreeEnCalが開発されている．応用研究の観点からFreeEnCalの実行時間の短縮とメモリ使用量の削減は重要な課題である．本研究では簡潔データ構造の一つであるSuRFを用いてFreeEnCalで扱う論理式を格納し，メモリ使用量の削減を試みる．そして，先行研究の簡潔データ構造LOUDSを用いたFreeEnCalと比較し提案手法の有用性を示す．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"776","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"775","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236221,"links":{}}